Staff Machine Learning Engineer, Relevance
Description For Staff Machine Learning Engineer, Relevance
Airbnb, a pioneering force in the global hospitality industry since 2007, is seeking a Staff Machine Learning Engineer to join their Relevance and Personalization team. This role presents an exceptional opportunity to work on critical search and recommendation systems that power the entire Airbnb platform.
The position involves developing cutting-edge AI technologies across the end-to-end search ranking product stack, working with various data types including structured, sequential, image, and text data. You'll be at the forefront of building and optimizing ranking algorithms that serve millions of users worldwide.
As a Staff ML Engineer, you'll collaborate with cross-functional teams to develop ranking solutions that support Airbnb's marketplace and further their mission of creating a world where people can "Belong Anywhere." The role combines technical leadership with hands-on development, requiring expertise in large-scale ML systems and infrastructure.
The compensation package is competitive, ranging from $212,000 to $270,000 USD, reflecting the senior nature of the position. While the role is remote-eligible within the US, it may require occasional presence at Airbnb offices or offsites.
Key technical requirements include 9+ years of industry experience in applied Machine Learning, strong programming skills, and deep understanding of ML best practices. You'll work with technologies like Tensorflow, PyTorch, Kubernetes, and Kafka, building scalable solutions that impact Airbnb's core business functions.
This is an excellent opportunity for an experienced ML engineer looking to make a significant impact in a company that's revolutionizing the travel and hospitality industry. You'll be part of a team with a strong publication record and work on projects that directly influence how millions of people experience travel and connection worldwide.
Responsibilities For Staff Machine Learning Engineer, Relevance
- Work with large scale structured and unstructured data, build and improve Machine Learning models
- Collaborate with cross-functional partners to identify opportunities and drive engineering decisions
- Develop, productionize, and operate Machine Learning models and pipelines at scale
- Leverage and develop Machine Learning tools & infrastructure
- Work on projects including feature platform, model interpretability, hyperparameter optimization, and concept drift detection
Requirements For Staff Machine Learning Engineer, Relevance
- 9+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
- Strong programming skills in Scala/Python/Java/C++ or equivalent
- Deep understanding of Machine Learning best practices and algorithms
- Experience with technologies like Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka
- Experience building end-to-end Machine Learning infrastructure
- Experience with test driven development and A/B testing
- Knowledge of high-scale software applications architecture
